I think there’s an issue with lumping them all together here. There is a functional difference between a machine that does your homework and is designed to endlessly praise you, and a model specifically designed to identify viruses or medications.
That’s like saying you can have space exploration without ballistic missiles. Once the technology is there power and/or the market will do whatever it wants with it.
Except even moreso with language models. Here it is not just a similar technology, but the exact same vehicle.
Translation: The way scaling laws and gradient descent work for language models means that there is NO functional difference between a machine that does your homework and is designed to endlessly praise you, and a model specifically designed to identify viruses or medications.
What is even the benefit
Advancing medicine, for one.
I think there’s an issue with lumping them all together here. There is a functional difference between a machine that does your homework and is designed to endlessly praise you, and a model specifically designed to identify viruses or medications.
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In this case it’s basically the same technology (LLMs); you don’t get one without the other.
Sure you do. We don’t have to have every permutation of every technology.
That’s like saying you can have space exploration without ballistic missiles. Once the technology is there power and/or the market will do whatever it wants with it.
Except even moreso with language models. Here it is not just a similar technology, but the exact same vehicle.
Translation: The way scaling laws and gradient descent work for language models means that there is NO functional difference between a machine that does your homework and is designed to endlessly praise you, and a model specifically designed to identify viruses or medications.
Well, for starters, if you want to translate a written work to another language, it has never been easier.
LLMs are excellent tools for modeling large languages.